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An emerging intuitionistic fuzzy based groundwater level prediction
NOPR - NISCAIR Online Periodicals Repository
View Archive Info| Field | Value | |
| Title |
An emerging intuitionistic fuzzy based groundwater level prediction
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| Creator |
Rani, R
Elangovan, K |
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| Subject |
Intuitionistic Fuzzy Logic
Artificial Neural Network Groundwater level prediction |
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| Description |
1213-1219
Primary objective of this paper is to compare the efficiency of two computational intelligence techniques in groundwater level prediction of a watershed. Techniques under comparison are Artificial Neural Networks (ANNs) and Intuitionistic Fuzzy Logic based Neural Network (IFLNN). Performance of the proposed model is measured against the generalization ability of the two techniques in groundwater level prediction of a watershed. |
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| Date |
2017-05-29T08:36:01Z
2017-05-29T08:36:01Z 2017-06 |
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| Type |
Article
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| Identifier |
0975-1033 (Online); 0379-5136 (Print)
http://nopr.niscair.res.in/handle/123456789/41989 |
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| Language |
en_US
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| Rights |
 CC Attribution-Noncommercial-No Derivative Works 2.5 India
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| Publisher |
NISCAIR-CSIR, India
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| Source |
IJMS Vol.46(06) [June 2017]
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